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Updated: Nov 30, 2025

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
A high-resolution map of reactive nitrogen inputs to China
Sitong Wang1, Xiuming Zhang2, Chen Wang1
1College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, P.R. China.
China
Area of Science:
- Environmental Science
- Ecology
- Agricultural Science
Background:
- Reactive nitrogen (Nr) inputs to China's environment have risen significantly over the past century due to increased food demand.
- China's reactive nitrogen emissions constitute over one-third of the global total, causing substantial environmental pollution and health issues.
- Understanding the spatial distribution of Nr inputs is vital for targeted pollution mitigation strategies.
Purpose of the Study:
- To develop a high-resolution (1 km × 1 km) database of reactive nitrogen inputs in China for the year 2017.
- To identify regional hotspots and land use types with high Nr inputs.
- To provide essential data for environmental health research and global change modeling.
Main Methods:
- Utilized the CHANS model to compile a comprehensive database of Nr inputs.
- Considered various land use types and reactive nitrogen sources.
- Achieved a spatial resolution of 1 km × 1 km for detailed analysis.
Main Results:
- Identified the North China Plain, Sichuan Basin, and Middle-Lower Yangtze River Plain as major hotspots for Nr inputs.
- Observed per-hectare Nr inputs in hotspots to be an order of magnitude higher than in other regions.
- Determined that cropland and surface water bodies receive significantly higher Nr inputs compared to other land uses.
Conclusions:
- The developed database offers unprecedented spatial detail on reactive nitrogen inputs across China.
- The identified hotspots and land use patterns highlight critical areas for pollution control interventions.
- This resource is crucial for advancing research in environmental health and global change modeling.
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